[Om-announce] IEEE Network SI on Big Data for Networking, Impact Factor 3.72

[Shui Yu]

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*CALL FOR PAPERS*



*Big Data for Networking*



Big data from everything around us at an unprecedented velocity, volume and
variety is changing the way we recognize the world. Big data analytics has
shown great potential in decision making, optimizing operations, preventing
threats and capitalizing on new sources of revenues in various fields such
as manufacturing, healthcare, insurance, and retail. To harness the power
of big data, many research efforts have been made to develop new data
programming models, e.g., MapReduce, and enhance data processing
infrastructure from aspects of computation, storage and network.



As networking plays a critical role in big data generation, transmission
and processing, networking for big data has been well investigated.
However, how big data affects networking is seldom studied. Although
various kinds of networks, such as mobile and wireless networks, wide area
Internet network, enterprise and home networks, wireless sensor networks,
etc. have changed the way people interact with each other and the world,
they become inefficient and difficult to manage because of high
complexities and interdependencies. Big network data, which come from
countless network devices in forms of device log, usage history, media
content delivered over networks and so on, provide a fundamentally
different and novel approach to explore, design and develop reliable and
scalable networks.



This special issue covers the most recent research results that address
challenges of big data for networking. Topics of interest include, but are
not limited to, the following:

-               Big data for network design

-               Big data for network management

-               Big data for network measurement

-               Big data for green communication and networking

-               Big data for network resource optimization

-               Big data for network security and privacy

-               Big data for network economics and pricing

-               Big data for network performance evaluation

-               Big data for crowdsourcing



With regard to both the content and formatting style of the submissions,
prospective authors should follow the *IEEE Network* submission guidelines
available at*http://www.comsoc.org/netmag/paper-submission-guidelines*
<http://www.comsoc.org/netmag/paper-submission-guidelines>. Authors should
submit their manuscripts via Manuscript Central, choosing "Big Data for
Networking" from the drop-down menu on the submission page. The
corresponding author is also requested to send the title of the submission
and the list of authors by email to the Guest Editors



Important Dates

·         Manuscript submission: June 1, 2015

·         First revision/reject notification: August 15, 2015

·         Acceptance notification: October 15, 2015

·         Final manuscript due: November 15, 2015

·         Publication date: January 2016



Guest Editors

Prof. Song Guo, The University of Aizu, Japan, sguo at u-aizu.ac.jp

Dr. Shui Yu, Deakin University, Australia, syu at deakin.edu.au,

Prof. Jie Li, University of Tsukuba, Japan, lijie at cs.tsukuba.ac.jp

Prof. Nirwan Ansari, New Jersey Institute of Technology, USA,
nirwan.ansari at njit.edu
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